Detection of activities in bathrooms through deep learning and environmental data graphics images.

Automatic detection activities in indoor spaces has been and is a matter of great interest. Thus, in the field of health surveillance, one of the spaces frequently studied is the bathroom of homes and specifically the behaviour of users in the said space, since certain pathologies can sometimes be deduced from it. That is why, the objective of this study is to know if it is possible to automatically classify the main activities that occur within the bathroom, using an innovative methodology with respect to the methods used to date, based on environmental parameters and the application of machine learning algorithms, thus allowing privacy to be preserved, which is a notable improvement in relation to other methods. For this, the methodology followed is based on the novel application of a pre-trained convolutional network for classifying graphs resulting from the monitoring of the environmental parameters of a bathroom. The results obtained allow us to conclude that, in addition to being able to check whether environmental data are adequate for health, it is possible to detect a high rate of true positives (around 80%) in some of the most frequent and important activities, thus facilitating its automation in a very simple and economical way.

In-situ disinfection of wastes generated in dwellings by utilizing ozone for their safe incorporation into the recycling chain.

The Covid-19 pandemic has certainly changed behaviour patterns in many aspects of life, such as the management of solid wastes inside residential spaces. The goal of this research work is to study an ozone generator device as a disinfection and sterilization tool for these wastes in dwellings themselves, thus re-establishing the selective collection to take them back to the recycling chain. In addition, an approach to the risk verification is made. The methodology is based on an experimentation with a device designed to be as cheap as possible. A room like a bedroom is used as a test bed to apply the device, but with no people inside the room to avoid risks. The results show that the device is feasible, concluding that risks are acceptable if its use is correct and appropriate equipment is available to be applied and controlled, all without prejudice of the rigorous control by the competent authorities that approve its use.

Do unemployment benefits and economic aids to pay electricity bills remove the energy poverty risk of Spanish family units during lockdown? A study of COVID-19-induced lockdown.

The COVID-19 pandemic has triggered serious economic crises in many countries. In Spain, millions of individuals have been ordered to remain at home and many are unemployed. The increased use of electrical appliances and low incomes make energy poverty highly likely. This study thus analyses the effectiveness of unemployment benefits and social measures to help Spanish family units pay their electricity bill during the COVID-19-induced lockdown in Spain (March-May 2020) and during a hypothetical lockdown in winter and summer. The results showed that the unemployment aids can contribute to alleviating energy poverty, especially if the unemployed individual worked in a poorly-paying job or for just a few hours. However, the social measures were found insufficient to avoid energy poverty. The application of a variable discount percentage in the electricity bill based on income and the month of the year would reduce energy poverty risk during further incidences of lockdown.

Evaluating the potential of adaptive comfort approach using historic data to reduce energy consumption in buildings in southern Spain.

The application of adaptive comfort models is among the determinant factors to reduce greenhouse gas emissions in the building sector. This research studies the region of Andalusia (south of Spain). A cluster analysis is applied to 786 Andalusian municipalities, and 4 groups are established according to the potential of adaptive strategies. A town is chosen from each group, and an hourly specific study is conducted for the last 20 years, as well as a daily study of the old time series by using an artificial neural network based on the existing climate data. The possibility of application of the EN 16798-1:2019 standard during the days of the year is analysed, as well as the possibilities of using natural ventilation and the possibility of using adaptive setpoint temperatures in comparison with both 3 fixed heating temperatures and 3 fixed cooling temperatures by considering the energy saving. The results to apply the standard ranged 69.0 and 100% of the days of each year. The possibilities of natural ventilation considered were greater than 10% of the hours of the year in all the assumptions. The energy saving of cooling degrees reveals a greater potential in the area studied than that of heating degrees; this tendency is supported by the study of old temporary series which are part of the climate variation predicted throughout the 21st century.

Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones.

In southern European countries, summer temperatures could contribute to a high cooling energy consumption. Family units with fewer economic resources living in social dwellings could suffer from fuel poverty if they want to use air conditioning systems. Otherwise, they could face discomfort hours because of a natural ventilation without clear control criteria. This study analyses quantitatively and qualitatively the possibilities of natural ventilation through mixed-mode and the possibility of reducing fuel poverty for family units living in social dwellings. For this purpose, the application of a natural ventilation approach was analysed through an adaptive behaviour based on EN 16798-1: 2019. A case study of 51 social dwellings was analysed by using various operation hypothesis between 2015 and 2019. The results showed the potential of using mixed-mode approaches based on the categories from EN 16798-1:2019 to achieve savings in the energy consumption and to remove cases of fuel poverty in low-income families. Likewise, surveys in which families living in these cities participated reflected the great awareness of the natural ventilation use, although there is not a clear criterion of the need of this ventilation for thermal comfort, as well as the need of a supportive use of air conditioning systems. Finally, the similarity of the climate conditions of the city analysed and the coastal cities from various countries in the south of Europe shows the possibility of using ventilation strategies as energy saving measures in other regions.